DeepSeek V3.1 vs Mistral Large 2
DeepSeek V3.1 (2025) and Mistral Large 2 (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3.1 ships a 64k-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, DeepSeek V3.1 leads by 13.6 pts. On pricing, DeepSeek V3.1 costs $0.27/1M input tokens versus $0.48/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V3.1 is ~78% cheaper at $0.27/1M; pay for Mistral Large 2 only for long-context analysis.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, Agents, and Vision | Coding, RAG, and Agents |
| Context window | 64k | 128k |
| Cheapest output | $1/1M tokens | $2.40/1M tokens |
| Provider routes | 8 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 1 shared |
Decision tradeoffs
- DeepSeek V3.1 holds a shared-benchmark lead on MMLU PRO, ahead by 13.6 points.
- DeepSeek V3.1 has the lower cheapest tracked output price at $1/1M tokens.
- DeepSeek V3.1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3.1 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek V3.1 for Coding, Agents, and Vision.
- Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3.1
$466
Cheapest tracked route/tier: Novita AI
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $518. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 is $1.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Mistral Large 2 adds JSON / Tool use in local capability data.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- DeepSeek V3.1 is $1.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- DeepSeek V3.1 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-21 | 2025-11-25 |
| Context window | 64k | 128k |
| Parameters | 671B total, 37B active (MoE) | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Mistral License |
| Openness | Open source | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: non-commercial |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Mistral Large 2 |
|---|---|---|
| Input price | $0.27/1M tokens | $0.48/1M tokens |
| Output price | $1/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3.1 | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 83.3 | 69.7 |
Continue comparing
Popular comparisons for DeepSeek V3.1
Popular comparisons for Mistral Large 2
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.